Connect AWS to 302.AI

Uploads a log event to the specified log stream. See docs

Creates a new table to your account. See docs

This operation allows you to perform transactional reads or writes on data stored in DynamoDB, using PartiQL. See docs

The Get Item operation returns a set of attributes for the item with the given primary key. If there is no matching item, Get Item does not return any data and there will be no Item element in the response. See docs

Creates a new item, or replaces an old item with a new item. If an item that has the same primary key as the new item already exists in the specified table, the new item completely replaces the existing item. See docs

The query operation finds items based on primary key values. See docs

The Scan operation returns one or more items and item attributes by accessing every item in a table. See docs

Updates an existing item's attributes, or adds a new item to the table if it does not already exist. See docs

Modifies the settings for a given table. Only one type of modification is permitted per request. See docs

Sends an event to an EventBridge event bus. See documentation

Create a Lambda function from source code. This action creates a zip file and deploys it to AWS Lambda. See the docs

Invoke a Lambda function using the AWS API. See the docs

Retrieves available options for the AWS Region field.

Insert rows into a table. See the documentation

Deletes row(s) in an existing table in Redshift. See the documentation

Run a SELECT query on a database. See the documentation

Update row(s) in an existing table in Redshift. See the documentation

Downloads a file from S3 to the /tmp directory. See the documentation

Creates a presigned URL to download from a bucket. See the documentation

Accepts a base64-encoded string and a filename, then uploads as a file to S3. See the documentation

Upload files to S3. Accepts either a file URL, a local file path, or a directory path. See the documentation

Sends a message to a SNS Topic. See docs

Sends a message to an SQS queue. See the docs

Enable your 302.AI model to invoke user-defined functions. Useful for conditional logic, workflow orchestration, and tool invocation within conversations. See documentation

Send a message to the 302.AI Chat API. Ideal for dynamic conversations, contextual assistance, and creative generation. See documentation

Classify input items into predefined categories using 302.AI models. Perfect for tagging, segmentation, and automated organization. See documentation

Generate vector embeddings from text using the 302.AI Embeddings API. Useful for semantic search, clustering, and vector store indexing. See documentation

Retrieves available options for the Chat Completion Model ID field.

Retrieves available options for the Embeddings Model ID field.

Retrieves available options for the Model ID field.

Summarize long-form text into concise, readable output using the 302.AI Chat API. Great for reports, content digestion, and executive briefs. See documentation